The Role of at Rich Interactive Domain 3A in the Tumorigenesis of Colorectal Carcinomas

Total Page:16

File Type:pdf, Size:1020Kb

The Role of at Rich Interactive Domain 3A in the Tumorigenesis of Colorectal Carcinomas The role of AT rich interactive domain 3A in the tumorigenesis of colorectal carcinomas Meiying Song Department of Medical Science The Graduate School, Yonsei University The role of AT rich interactive domain 3A in the tumorigenesis of colorectal carcinomas Directed by Professor Hoguen Kim The Doctoral Dissertation submitted to the Department of Medicine, the Graduate School of Yonsei University in partial fulfillment of the requirements for the degree of Doctor of Philosophy Meiying Song December 2012 ACKNOWLEDGEMENTS I would like to express my sincere gratitude to all those who made invaluable contributions to my research directly or indirectly. Without their invaluable helps and generous encouragements, this thesis could not have reached its present form. I am deeply indebted to my supervisor Professor Hoguen Kim, and Dr. Hyunki Kim working in Department of Pathology, Yonsei University. Their invaluable help, stimulating suggestion, constant encouragement, and patient guidance helped me in all the time of my research. My colleagues from Department of Pathology, Yonsei University also gave me lots of valuable advice when I was faced with problems during the process of my research and writing this thesis. I want to thank them for all their helps. Especially, I should give my thanks to my parents. It was their patient love and encouragement that enabled me to finish my doctorate in education at medical college of Yonsei University. TABLE OF CONTENTS ABSTRACT…….…………………………………………………………....1 I. INTRODUCTION.……………………………………………………….…..3 II. MATERIALS AND METHODS....……………………………….………...8 1. Patients and samples……………….………………………….…………...8 2. Tissue microarray and immunohistochemistry…………………….……...8 3. Evaluation of staining……………………………………………….……..9 4. Cell lines and cultures……………………………………………………..9 5. RNA extraction and semi-quantitative RT-PCR………………………......9 6. Real-time RT-PCR…………………………………………………….…10 7. Western blot……………….……………………………………………12 8. Plasmid construction……………………………………………….…...12 9. Small interfering RNA and transfection…………………………….…..13 10. Proliferation assay……………………………………………………..13 11. Cell cycle and apoptosis assay………………………………….….….14 12. Statistical analysis……………………………………………….…….15 III. RESULTS…………………………………………..…………………….16 1. Quantification and identification of ARID3A by proteomic analysis….16 2. Detection of ARID3A expression in colorectal cancer cell lines and tissues……………………………………………………………….….18 3. Immunohistochemical analysis of ARID3A expression in colorectal adenomas and carcinomas……………………………………………...21 4. Relationship between ARID3A expression and clinicopathological parameters……………………………….……………………..……….24 5. Evaluation of ARID3A as a potential prognostic marker for colorectal cancer………………………..…………………………………………26 6. Relationship between ARID3A expression and proliferation of colorectal cancer cell lines.………………………………………….…………….30 7. Relationship between ARID3A and CD133 expression………………..33 IV. DISCUSSION………………………………………………………….….37 V. CONCLUSION………………………………………………………......42 REFERENCES…………………………………………….………………….43 ABSTRACT (IN KOREAN)……………………………………………….48 PUBLICATION LIST……………………………………………………….50 LIST OF FIGURES Figure 1. Quantification and identification of ARID3A…….…....17 Figure 2. ARID3A expression in colorectal cancer cell lines…...18 Figure 3. ARID3A expression in colorectal cancer tissues………20 Figure 4. Representative images of ARID3A expression in three matched sets of normal, adenoma, and carcinoma tissues...………………………………………………...………22 Figure 5. Kaplan-Meier analysis of survival in patients with colorectal cancer…………………………….……..…...……27 Figure 6. Proliferation assay in RKO colon cancer cell line.........31 Figure 7. Upregulation of ARID3A expression in LoVo colon cancer cell lines.…………………………………………..….32 Figure 8. Overexpression of ARID3A reduces the transcription levels of pluripotency-associated markers and cancer stem cell markers………………………………………..…...34 Figure 9. ARID3A regulates the CD133 expression in colorectal cancer cells………………………….……………………...….36 LIST OF TABLES Table 1. Sequence of PCR primers…………………….………..11 Table 2. Clinicopathological features according to ARID3A expression in 690 colorectal cancers……………..……......25 Table 3. Relationship between clinicopathologic factors and overall survival by univariate Cox proportional hazards regression analysis……….……………………………………29 Table 4. Multivariate Cox regression analysis of overall survival...……………………...…………………………………30 ABSTRACT The role of AT rich interactive domain 3A in the tumorigenesis of colorectal carcinomas Meiying Song Department of Medical Science The Graduate School, Yonsei University (Directed by Professor Hoguen Kim) AT rich interactive domain 3A (ARID3A) is a member of the ARID family of DNA-binding proteins. Previous reports have shown that ARID3A controls the cell growth through p53-dependent manner. Recently, it has been reported that expression of ARID3A protein was 14.29-fold increased in colon cancer tissue, compared to matched normal colonic mucosa. To date, biological function of ARID3A in human disease, especially in colorectal cancer (CRC), remains largely unknown. Therefore, my research was focused on studying the role of ARID3A in the tumorigenesis and the physiological implication of CRC. The expression of ARID3A was investigated by immunohistochemistry. ARID3A expression was detected in a subset of colorectal adenomas and carcinomas, and the location of ARID3A was mainly in the nucleus. To investigate the prognostic impact of ARID3A in CRC, tissue specimens from 690 patients with CRC were examined. Of the 690 cases, 195 tumors were strong-positive for ARID3A, 187 tumors were weak-positive and 308 tumors were negative. The expression of ARID3A in CRC 1 was significantly correlated with age, degree of differentiation, depth of invasion, lymph node metastasis, distant metastasis, TNM stage, status of microsatellite instability, and CEA levels. The overall survival of CRC patients with ARID3A- strong expression was significantly longer than that of patients with ARID3A- negative or weak expression. On multivariate analysis, the strong expression of ARID3A was proven to be an independent predictor for better prognosis in CRC. Recent studies support a model in which ARID3A acts as a suppressor of lineage plasticity. I found that upregulation of ARID3A expression correlated with the reduction of transcriptional levels of several pluripotency-associated markers (OCT4, SOX2 and KLF4) and colorectal cancer stem cell (CSC) markers (CD133, CD44, CD166, CD24, and ALDH1) in CRC cell lines. Among these markers, I demonstrated the inverse relationship between ARID3A and CD133 expression in protein levels. In conclusion, my study strongly suggests that ARID3A might play an important role in colorectal carcinogenesis and can be used as a biomarker to predict the prognosis of CRC. Additionally, upregulation of ARID3A in CRC cell lines reduces expression levels of CD133, one of most important cancer stem cell markers in CRC. Further studies are necessary to delineate the mechanistic basis of these features. Key words: colorectal cancer, ARID3A, prognosis, cancer stem cell 2 The role of AT rich interactive domain 3A in the tumorigenesis of colorectal carcinomas Meiying Song Department of Medical Science The Graduate School, Yonsei University (Directed by Professor Hoguen Kim) I. INTRODUCTION Colorectal cancer (CRC) is the third most common cancer in the Western world. Every year, more than one million new cases are diagnosed as colorectal cancer worldwide, and colorectal cancer is also the third most common leading cause of cancer-related death in the developed countries 1. The classic description of colorectal carcinogenesis is the adenoma-carcinoma sequence. Most colorectal cancers develop through an ordered series of events beginning with the transformation of normal colonic epithelium to adenoma and then ultimately adenocarcinoma 2. Multiple genetic events are required for tumor progression, and genomic instability is recognized as an essential genetic feature that accompanies the acquisition of these mutations 3. Colorectal cancer is classified into at least three pathways of genomic and epigenomic instability: the chromosomal instability (CIN), microsatellite instability (MSI), and CpG island methylator phenotype (CIMP) pathways 3. Most colorectal cancers arise 3 sporadically. About 85% of sporadic cases have chromosomal instability; an allelic imbalance at some chromosomal loci (5q, 8q, 17p, and 18q), and chromosome amplification and translocation, which together contribute to tumor aneuploidy 1, 2, 4, 5. The remaining 15% of sporadic colorectal cancer have microsatellite instability- high (MSI-high) phenotypes 6. This phenotype is caused by mutation or loss of function through epigenetic gene silencing of DNA mismatch-repair genes 1, 7, 8. Prognostic markers are associated with survival, and predictive markers indicate likely benefit of treatment. Microsatellite instability and 18q imbalance are very important prognostic and predictive markers in colorectal cancer. These two markers can be used to discriminate between molecular subtypes in stage II CRC, which contribute to the risk-benefit assessment of adjuvant treatment 1. Even though cancer biomarkers, such as microsatellite instability and 18q imbalance, have been identified, the overall 5-year survival rate of colorectal cancer is still poor. Therefore, many efforts have been made to find other molecular markers to identify high-risk disease and to select patients for adjuvant treatment.
Recommended publications
  • Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
    Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A.
    [Show full text]
  • Regulation of Transcription and Regulatory Networks for Muscle Growth * * * * A
    Regulation Of Transcription And Regulatory Networks For Muscle Growth * * * * A. Reverter , N.J. Hudson , Q. Gu and B.P. Dalrymple Introduction The advent of microarray gene expression technology has provided animal scientists with an unprecedented ability to profile the transcriptional changes during skeletal muscle growth. With respect to meat quality, most of the effort has concentrated on the understanding of fat and energy metabolism (reviewed by Hausman et al . (2009)). Graugnard et al . (2009) explored the network among 31 genes associated with aspects of adipogenesis and energy metabolism in bovine skeletal muscle and in response to two distinct diets. Also, Freyssenet (2007) reviewed the roles that energy-sensing molecules and mitochondria have in the regulation of gene expression in muscle. However, other mechanisms such as cell cycle, glycolysis, extra-cellular matrix, ribosomal proteins and the immune system play a significant role in development, and this role can work in a tissue-specific manner. Hudson et al . (2009a) reported various functional modules underpinning the transcriptional regulation of bovine skeletal muscle. The authors integrated a total of six gene co-expression networks, each developed using the PCIT algorithm (Reverter and Chan (2008)), and proposed a Module-to-Regulator heuristic by which those transcription factors (TF) with the highest average absolute correlation co-expression with the genes present in each module are deemed to be the relevant regulators. However, this Module-to-Regulator approach failed to capture some well-known regulators of muscle fibre type composition, and the use of more sophisticated methods such as the differential wiring approach of Hudson et al .
    [Show full text]
  • Watsonjn2018.Pdf (1.780Mb)
    UNIVERSITY OF CENTRAL OKLAHOMA Edmond, Oklahoma Department of Biology Investigating Differential Gene Expression in vivo of Cardiac Birth Defects in an Avian Model of Maternal Phenylketonuria A THESIS SUBMITTED TO THE GRADUATE FACULTY In partial fulfillment of the requirements For the degree of MASTER OF SCIENCE IN BIOLOGY By Jamie N. Watson Edmond, OK June 5, 2018 J. Watson/Dr. Nikki Seagraves ii J. Watson/Dr. Nikki Seagraves Acknowledgements It is difficult to articulate the amount of gratitude I have for the support and encouragement I have received throughout my master’s thesis. Many people have added value and support to my life during this time. I am thankful for the education, experience, and friendships I have gained at the University of Central Oklahoma. First, I would like to thank Dr. Nikki Seagraves for her mentorship and friendship. I lucked out when I met her. I have enjoyed working on this project and I am very thankful for her support. I would like thank Thomas Crane for his support and patience throughout my master’s degree. I would like to thank Dr. Shannon Conley for her continued mentorship and support. I would like to thank Liz Bullen and Dr. Eric Howard for their training and help on this project. I would like to thank Kristy Meyer for her friendship and help throughout graduate school. I would like to thank my committee members Dr. Robert Brennan and Dr. Lilian Chooback for their advisement on this project. Also, I would like to thank the biology faculty and staff. I would like to thank the Seagraves lab members: Jailene Canales, Kayley Pate, Mckayla Muse, Grace Thetford, Kody Harvey, Jordan Guffey, and Kayle Patatanian for their hard work and support.
    [Show full text]
  • A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
    Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated.
    [Show full text]
  • 4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
    Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4).
    [Show full text]
  • Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
    Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase
    [Show full text]
  • The Role of Components of the Chromatin Modification Machinery in Carcinogenesis of Clear Cell Carcinoma of the Ovary (Review)
    ONCOLOGY LETTERS 2: 591-597, 2011 The role of components of the chromatin modification machinery in carcinogenesis of clear cell carcinoma of the ovary (Review) HIROSHI SHIGETOMI, AKIRA OONOGI, TAIHEI TSUNEMI, YASUHITO TANASE, YOSHIHIKO YAMADA, HIROTAKA KAJIHARA, YORIKO YOSHIZAWA, NAOTO FURUKAWA, SHOJI HARUTA, SHOZO YOSHIDA, TOSHIYUKI SADO, HIDEKAZU OI and HIROSHI KOBAYASHI Department of Obstetrics and Gynecology, Nara Medical University, Nara, Japan Received January 21, 2011; Accepted April 27, 2011 DOI: 10.3892/ol.2011.316 Abstract. Recent data have provided information regarding 6. A marked resemblance between CCC and ccRCC the profiles of clear cell carcinoma of the ovary (CCC) with 7. Conclusions adenine-thymine rich interactive domain 1A (ARID1A) muta- tions. The purpose of this review was to summarize current 1. Introduction knowledge regarding the molecular mechanisms involved in CCC tumorigenesis and to describe the central role played Epithelial ovarian cancer (EOC) is the most lethal gyne- by the aberrant chromatin remodeling. The present article cologic malignancy worldwide. Epidemiology calculations reviews the English-language literature for biochemical of lifetime risk for EOC are that 1 in 55 women is likely to studies on the ARID1A mutation and chromatin remodeling develop EOC during their lifetime (1). Since EOC is more in CCC. ARID1A is responsible for directing the SWI/SNF likely to be advanced stage with unfavorable tumor biology, complex to target promoters and regulates the transcription of there are serious limitations to the surgical and oncological certain genes by altering the chromatin structure around those treatment available. Therefore, it is crucial to determine the genes. The mutation spectrum of ARID1A was enriched for earliest possible diagnosis.
    [Show full text]
  • What Your Genome Doesn't Tell
    UC San Diego UC San Diego Electronic Theses and Dissertations Title Multi-layered epigenetic control of T cell fate decisions Permalink https://escholarship.org/uc/item/8rs7c7b3 Author Yu, Bingfei Publication Date 2018 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA SAN DIEGO Multi-layered epigenetic control of T cell fate decisions A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Biology by Bingfei Yu Committee in charge: Professor Ananda Goldrath, Chair Professor John Chang Professor Stephen Hedrick Professor Cornelis Murre Professor Wei Wang 2018 Copyright Bingfei Yu, 2018 All rights reserved. The dissertation of Bingfei Yu is approved, and it is ac- ceptable in quality and form for publication on microfilm and electronically: Chair University of California San Diego 2018 iii DEDICATION To my parents who have been giving me countless love, trust and support to make me who I am. iv EPIGRAPH Stay hungary. Stay foolish. | Steve Jobs quoted from the back cover of the 1974 edition of the Whole Earth Catalog v TABLE OF CONTENTS Signature Page.................................. iii Dedication..................................... iv Epigraph.....................................v Table of Contents................................. vi List of Figures.................................. ix Acknowledgements................................x Vita........................................ xii Abstract of
    [Show full text]
  • Identification of Transcriptional Mechanisms Downstream of Nf1 Gene Defeciency in Malignant Peripheral Nerve Sheath Tumors Daochun Sun Wayne State University
    Wayne State University DigitalCommons@WayneState Wayne State University Dissertations 1-1-2012 Identification of transcriptional mechanisms downstream of nf1 gene defeciency in malignant peripheral nerve sheath tumors Daochun Sun Wayne State University, Follow this and additional works at: http://digitalcommons.wayne.edu/oa_dissertations Recommended Citation Sun, Daochun, "Identification of transcriptional mechanisms downstream of nf1 gene defeciency in malignant peripheral nerve sheath tumors" (2012). Wayne State University Dissertations. Paper 558. This Open Access Dissertation is brought to you for free and open access by DigitalCommons@WayneState. It has been accepted for inclusion in Wayne State University Dissertations by an authorized administrator of DigitalCommons@WayneState. IDENTIFICATION OF TRANSCRIPTIONAL MECHANISMS DOWNSTREAM OF NF1 GENE DEFECIENCY IN MALIGNANT PERIPHERAL NERVE SHEATH TUMORS by DAOCHUN SUN DISSERTATION Submitted to the Graduate School of Wayne State University, Detroit, Michigan in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY 2012 MAJOR: MOLECULAR BIOLOGY AND GENETICS Approved by: _______________________________________ Advisor Date _______________________________________ _______________________________________ _______________________________________ © COPYRIGHT BY DAOCHUN SUN 2012 All Rights Reserved DEDICATION This work is dedicated to my parents and my wife Ze Zheng for their continuous support and understanding during the years of my education. I could not achieve my goal without them. ii ACKNOWLEDGMENTS I would like to express tremendous appreciation to my mentor, Dr. Michael Tainsky. His guidance and encouragement throughout this project made this dissertation come true. I would also like to thank my committee members, Dr. Raymond Mattingly and Dr. John Reiners Jr. for their sustained attention to this project during the monthly NF1 group meetings and committee meetings, Dr.
    [Show full text]
  • Human Induced Pluripotent Stem Cell–Derived Podocytes Mature Into Vascularized Glomeruli Upon Experimental Transplantation
    BASIC RESEARCH www.jasn.org Human Induced Pluripotent Stem Cell–Derived Podocytes Mature into Vascularized Glomeruli upon Experimental Transplantation † Sazia Sharmin,* Atsuhiro Taguchi,* Yusuke Kaku,* Yasuhiro Yoshimura,* Tomoko Ohmori,* ‡ † ‡ Tetsushi Sakuma, Masashi Mukoyama, Takashi Yamamoto, Hidetake Kurihara,§ and | Ryuichi Nishinakamura* *Department of Kidney Development, Institute of Molecular Embryology and Genetics, and †Department of Nephrology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan; ‡Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, Hiroshima, Japan; §Division of Anatomy, Juntendo University School of Medicine, Tokyo, Japan; and |Japan Science and Technology Agency, CREST, Kumamoto, Japan ABSTRACT Glomerular podocytes express proteins, such as nephrin, that constitute the slit diaphragm, thereby contributing to the filtration process in the kidney. Glomerular development has been analyzed mainly in mice, whereas analysis of human kidney development has been minimal because of limited access to embryonic kidneys. We previously reported the induction of three-dimensional primordial glomeruli from human induced pluripotent stem (iPS) cells. Here, using transcription activator–like effector nuclease-mediated homologous recombination, we generated human iPS cell lines that express green fluorescent protein (GFP) in the NPHS1 locus, which encodes nephrin, and we show that GFP expression facilitated accurate visualization of nephrin-positive podocyte formation in
    [Show full text]
  • Epigenetic Mechanisms Are Involved in the Oncogenic Properties of ZNF518B in Colorectal Cancer
    Epigenetic mechanisms are involved in the oncogenic properties of ZNF518B in colorectal cancer Francisco Gimeno-Valiente, Ángela L. Riffo-Campos, Luis Torres, Noelia Tarazona, Valentina Gambardella, Andrés Cervantes, Gerardo López-Rodas, Luis Franco and Josefa Castillo SUPPLEMENTARY METHODS 1. Selection of genomic sequences for ChIP analysis To select the sequences for ChIP analysis in the five putative target genes, namely, PADI3, ZDHHC2, RGS4, EFNA5 and KAT2B, the genomic region corresponding to the gene was downloaded from Ensembl. Then, zoom was applied to see in detail the promoter, enhancers and regulatory sequences. The details for HCT116 cells were then recovered and the target sequences for factor binding examined. Obviously, there are not data for ZNF518B, but special attention was paid to the target sequences of other zinc-finger containing factors. Finally, the regions that may putatively bind ZNF518B were selected and primers defining amplicons spanning such sequences were searched out. Supplementary Figure S3 gives the location of the amplicons used in each gene. 2. Obtaining the raw data and generating the BAM files for in silico analysis of the effects of EHMT2 and EZH2 silencing The data of siEZH2 (SRR6384524), siG9a (SRR6384526) and siNon-target (SRR6384521) in HCT116 cell line, were downloaded from SRA (Bioproject PRJNA422822, https://www.ncbi. nlm.nih.gov/bioproject/), using SRA-tolkit (https://ncbi.github.io/sra-tools/). All data correspond to RNAseq single end. doBasics = TRUE doAll = FALSE $ fastq-dump -I --split-files SRR6384524 Data quality was checked using the software fastqc (https://www.bioinformatics.babraham. ac.uk /projects/fastqc/). The first low quality removing nucleotides were removed using FASTX- Toolkit (http://hannonlab.cshl.edu/fastxtoolkit/).
    [Show full text]
  • Dynamics of Primitive Streak Regression Controls the Fate Of
    RESEARCH ARTICLE Dynamics of primitive streak regression controls the fate of neuromesodermal progenitors in the chicken embryo Charlene Guillot1,2,3*, Yannis Djeffal1,2,3, Arthur Michaut1,2,3, Brian Rabe2,4, Olivier Pourquie´ 1,2,3* 1Department of Pathology, Brigham and Women’s Hospital, Boston, United States; 2Department of Genetics, Harvard Medical School, Boston, United States; 3Harvard Stem Cell Institute, Boston, United States; 4Howard Hughes Medical Institute, Boston, United States Abstract In classical descriptions of vertebrate development, the segregation of the three embryonic germ layers completes by the end of gastrulation. Body formation then proceeds in a head to tail fashion by progressive deposition of lineage-committed progenitors during regression of the primitive streak (PS) and tail bud (TB). The identification by retrospective clonal analysis of a population of neuromesodermal progenitors (NMPs) contributing to both musculoskeletal precursors (paraxial mesoderm) and spinal cord during axis formation challenged these notions. However, classical fate mapping studies of the PS region in amniotes have so far failed to provide direct evidence for such bipotential cells at the single-cell level. Here, using lineage tracing and single-cell RNA sequencing in the chicken embryo, we identify a resident cell population of the anterior PS epiblast, which contributes to neural and mesodermal lineages in trunk and tail. These cells initially behave as monopotent progenitors as classically described and only acquire a bipotential fate later, in more posterior regions. We show that NMPs exhibit a conserved *For correspondence: transcriptomic signature during axis elongation but lose their epithelial characteristicsin the TB. [email protected] (CG); Posterior to anterior gradients of convergence speed and ingression along the PS lead to [email protected].
    [Show full text]